Search Results for author: Mor Naaman

Found 8 papers, 3 papers with code

Co-Writing with Opinionated Language Models Affects Users' Views

no code implementations1 Feb 2023 Maurice Jakesch, Advait Bhat, Daniel Buschek, Lior Zalmanson, Mor Naaman

Using the opinionated language model affected the opinions expressed in participants' writing and shifted their opinions in the subsequent attitude survey.

Language Modelling

Estimating Exposure to Information on Social Networks

no code implementations13 Jul 2022 Buddhika Nettasinghe, Kowe Kadoma, Mor Naaman, Vikram Krishnamurthy

The exact value of exposure to a piece of information is determined by two features: the structure of the underlying social network and the set of people who shared the piece of information.

Human heuristics for AI-generated language are flawed

no code implementations15 Jun 2022 Maurice Jakesch, Jeffrey Hancock, Mor Naaman

Human communication is increasingly intermixed with language generated by AI.

Feature Engineering

Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media

1 code implementation14 Mar 2022 Hana Matatov, Mor Naaman, Ofra Amir

The massive spread of visual content through the web and social media poses both challenges and opportunities.

Image Retrieval Retrieval

Artificial intelligence in communication impacts language and social relationships

no code implementations10 Feb 2021 Jess Hohenstein, Dominic DiFranzo, Rene F. Kizilcec, Zhila Aghajari, Hannah Mieczkowski, Karen Levy, Mor Naaman, Jeff Hancock, Malte Jung

Artificial intelligence (AI) is now widely used to facilitate social interaction, but its impact on social relationships and communication is not well understood.

VoterFraud2020: a Multi-modal Dataset of Election Fraud Claims on Twitter

1 code implementation20 Jan 2021 Anton Abilov, Yiqing Hua, Hana Matatov, Ofra Amir, Mor Naaman

The wide spread of unfounded election fraud claims surrounding the U. S. 2020 election had resulted in undermining of trust in the election, culminating in violence inside the U. S. capitol.

Social and Information Networks

Understanding Image Quality and Trust in Peer-to-Peer Marketplaces

no code implementations26 Nov 2018 Xiao Ma, Lina Mezghani, Kimberly Wilber, Hui Hong, Robinson Piramuthu, Mor Naaman, Serge Belongie

In this work, we conducted a large-scale study on the quality of user-generated images in peer-to-peer marketplaces.

Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies

6 code implementations NAACL 2018 Max Grusky, Mor Naaman, Yoav Artzi

We present NEWSROOM, a summarization dataset of 1. 3 million articles and summaries written by authors and editors in newsrooms of 38 major news publications.

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